DocumentCode
3741967
Title
Comparison of nonlinear identification techniques on a benchmark pH neutralization process
Author
Juan C. Gomez
Author_Institution
Laboratory for System Dynamics and Signal Processing, FCEIA, Universidad Nacional de Rosario, and CIFASIS-CONICET, Argentina
fYear
2015
Firstpage
153
Lastpage
158
Abstract
In this paper, several state-of-the-art nonlinear identification methods are compared on a benchmark pH neutralization process. Methods based on orthonormal bases for block-oriented nonlinear models, as well as methods based on support vector regression techniques are considered. The advantages and drawbacks of the different methods, and the properties of the estimated models are analyzed.
Keywords
"Decision support systems","Erbium"
Publisher
ieee
Conference_Titel
Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), 2015 CHILEAN Conference on
Type
conf
DOI
10.1109/Chilecon.2015.7400368
Filename
7400368
Link To Document